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DTU Tenure Track Researcher in X-Ray Nano-Computed Tomography for Dynamic Processes in Geological...
), on the development of in-situ nano-computed tomography (nano-CT). The expected start date is May 2025, and the position will be hosted within the 3D Imaging Center ( 3DIM ). The position aims to develop
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to identify requirements and validate solutions Your profile Education: MSc degree or equivalent in Computer Science or Engineering Experience: The ideal candidate should have some knowledge and/or experience
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of aging and lifespan development Interest in studies of ambulatory assessment Good knowledge of and interest in quantitative methods (e.g., multivariate analyses, longitudinal analyses, multilevel analyses
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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numerous non-academic partners such as ministries, local governments, associations, NGOs … A strong doctoral program with training in scientific and transferable skills, participation in schools, conferences
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numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Cover letter explaining your motivation for applying and any relevant
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Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic Ph.D. student with a strong interest in computational microbiome research. The specific focus of the Ph.D. project will be tailored
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid